Adaptive protocols for information dissemination in wireless sensor networks

Heinzelman, Wendi; Kulik, Joanna; Balakrishnan, Hari

doi:10.1145/313451.313529

Cited by 1,696 publications

(844 citation statements)

References 11 publications

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“…Performance of LEACH protocols was evaluated in [15] for selection of routing cluster-heads to collect local information and transmit in WSN. A mathematical framework was evaluated and proposed in [16] analyzing performances (using discrete-event Qualnet simulations) of proactive and reactive routing protocols in MANETs.…”

Section: Related Workmentioning

confidence: 99%

Optimal dynamic routing protocols for agro-sensor communication in MANETs

Siddiquee

Khan

Andersson

et al. 2017

2017 14th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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Abstract-Recent developments in the area of Wireless sensor networks and Mobile ad hoc networks provide flexible and easyto-deploy communication means for a wide range of applications without any need for an infrastructure being pre-configured. Our paper studies performance of proactive and reactive routing protocols in a scenario with agro-sensors. Our results, achieved by simulating a network both in OPNET Modeler and NS2, show that the AODV routing protocol performs better for a large-scale network (where node density is higher) while the DSR routing protocol performs better in a small-scale network given the particular scenario we studied.

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Section: Related Workmentioning

confidence: 99%

Optimal dynamic routing protocols for agro-sensor communication in MANETs

Siddiquee

Khan

Andersson

et al. 2017

2017 14th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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“…SPIN distributes all information to every node in a network considering every node can act as a base station which makes it possible to search data at any node and find the data at once [12]. In SPIN data are named by high-level captions which are also known as meta-data [20]. These meta-data are shared among the sensor nodes before any data transmission.…”

Section: Adaptive Based Routingmentioning

confidence: 99%

“…After receiving the meta-data the neighbors first check whether they need the actual data or not. If they need it (the nodes that do not have the data) they collect the data by sending a request message [20]. This mechanism solves data redundancy problem and thus energy efficiency problem for wireless sensor networks.…”

Section: Adaptive Based Routingmentioning

confidence: 99%

A Survey on Routing Protocols and Simulation Analysis of WRP, DSR and AODV in Wireless Sensor Networks

Chowdhury¹,

Uddin²,

Noor³

2012

IJMLC

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Abstract-The field of communications networks continues to emerge, thus leading to the rapid growth in the field of wireless sensor networks (WSNs). WSNs are noticeably different from traditional Ad hoc networks. The conspicuous difference between WSNs and traditional Ad hoc networks is that they (WSNs) are strictly constrained by limited supply of energy, capacity of storage, power of computation, and bandwidth. Because of these constraints and random deployment in some cases, it has become a challenge for the researchers to design an unblemished routing layer protocol for wireless sensor networks. In this paper we studied the motivation and design issues for routing protocols in WSNs with the limitations of existing routing protocols for WSNs. We also used GloMoSim-2.03 to find the shortcomings of traditional ad hoc routing protocols (DSR, WRF, AODV) when those are applied to WSN and to find out certain specific scenarios (considering low traffic networks and high traffic networks) of WSN where it is better to employ an existing Ad hoc routing protocol rather than developing a new one.

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“…In-network data processing is general procedure for gathering data and routing through the network in order to optimize the resources of the network, particularly from the point of view of energy consumption that optimizes the system lifetime [13]. In this respect, a number of researches were performed during the past decade such as those related to aggregation, metadata negotiation or data fusion [14][15][16][17][18]. However, in most cases, in-network processing is specifically designed for a single type of tasks and very often it is not generic enough to support multiple services demanded by the current context-aware applications that deal with a variety of objectives.…”

Section: Contributions Of This Researchmentioning

confidence: 99%

Bringing pervasive embedded networks to the service cloud: A lightweight middleware approach

Corredor

Martínez

Familiar

2011

Journal of Systems Architecture

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The emergence of novel pervasive networks that consist of tiny embedded nodes have reduced the gap between real and virtual worlds. This paradigm has opened the Service Cloud to a variety of wireless devices especially those with sensorial and actuating capabilities. Those pervasive networks contribute to build new context-aware applications that interpret the state of the physical world at real-time. However, traditional Service-Oriented Architectures (SOA), which are widely used in the current Internet are unsuitable for such resource-constraint devices since they are too heavy. In this research paper, an internetworking approach is proposed in order to address that important issue. The main part of our proposal is the Knowledge-Aware and Service-Oriented (KASO) Middleware that has been designed for pervasive embedded networks. KASO Middleware implements a diversity of mechanisms, services and protocols which enable developers and business processing designers to deploy, expose, discover, compose, and orchestrate real-world services (i.e. services running on sensor/actuator devices). Moreover, KASO Middleware implements endpoints to offer those services to the Cloud in a REST manner. Our internetworking approach has been validated through a real healthcare telemonitoring system deployed in a sanatorium. The validation tests show that KASO Middleware successfully brings pervasive embedded networks to the Service Cloud.

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Adaptive protocols for information dissemination in wireless sensor networks

Cited by 1,696 publications

References 11 publications

Optimal dynamic routing protocols for agro-sensor communication in MANETs

Optimal dynamic routing protocols for agro-sensor communication in MANETs

A Survey on Routing Protocols and Simulation Analysis of WRP, DSR and AODV in Wireless Sensor Networks

Bringing pervasive embedded networks to the service cloud: A lightweight middleware approach

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